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CASE STUDY May 29, 2025
PTP Enhances Operational Efficiency with a Modern Azure Lakehouse Platform
CASE STUDY May 29, 2025
Pelabuhan Tanjung Pelepas Sdn Bhd (PTP), Malaysia’s premier transshipment port, required a transformational overhaul of its data ecosystem. Faced with fragmented information across more than 10 operational systems and increasing data volumes, PTP faced delayed, error-prone reporting and a absence of real-time insights. To overcome these challenges, PTP partnered with Tiger Analytics to deploy a unified data platform built on Microsoft Azure. This new solution consolidated structured and unstructured data into a single, scalable repository using the latest features in Azure Databricks Lakehouse platform while enabling real-time analytics and interactive reporting through Power BI. The transformation has not only accelerated operational reporting but also laid a strong foundation for future AI and machine learning (ML) initiatives.
The data lake delivered significant benefits for PTP by unifying data from over 10 sources into a single platform, enabling real-time operational reporting and scalable data processing. It reduced report generation time from hours to minutes, improved decision-making in areas like Prime Mover deployment, and minimized manual errors. The centralized repository also supported ML and BI initiatives, with upcoming use cases in delinquency prediction and IoT-based anomaly detection, driving greater efficiency and strategic growth.
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